Genetic Variability and Diversity Analysis in Sesame (*Sesamum indicum* L.)

Sesame (*Sesamum indicum* L.) is an ancient oilseed crop of significant nutritional and economic value, but its productivity remains suboptimal due to limited genetic improvement. This study assessed genetic variability, correlation patterns, and genetic divergence among 40 sesame genotypes to identify superior parents for breeding programs. Evaluating nine quantitative traits, including days to flowering, plant height, branches per plant, and oil content, in a randomized block design with three replications, revealed significant genetic variation. High heritability and genetic advance were recorded for traits such as days to flowering (95.98%) and seed yield per plant (98.69%). Number of capsules per plant showed the highest direct effect on seed yield. Mahalanobis D² analysis grouped the genotypes into six clusters, with plant height contributing the most to total divergence. The study identified genotypes from divergent clusters (III, IV, V, and VI) as potential parents for hybridization to develop high-yielding varieties with improved oil content.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-24
DOI
https://doi.org/10.5281/zenodo.15726529
Primary Topic
Historical Astronomy and Related Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic Variability and Diversity Analysis in Sesame (*Sesamum indicum* L.)

Zenodo (CERN European Organization for Nuclear Research)
Historical Astronomy and Related Studies
article

Genetic Variability and Diversity Analysis in Sesame (*Sesamum indicum* L.)

article en

Abstract

Sesame (*Sesamum indicum* L.) is an ancient oilseed crop of significant nutritional and economic value, but its productivity remains suboptimal due to limited genetic improvement. This study assessed genetic variability, correlation patterns, and genetic divergence among 40 sesame genotypes to identify superior parents for breeding programs. Evaluating nine quantitative traits, including days to flowering, plant height, branches per plant, and oil content, in a randomized block design with three replications, revealed significant genetic variation. High heritability and genetic advance were recorded for traits such as days to flowering (95.98%) and seed yield per plant (98.69%). Number of capsules per plant showed the highest direct effect on seed yield. Mahalanobis D² analysis grouped the genotypes into six clusters, with plant height contributing the most to total divergence. The study identified genotypes from divergent clusters (III, IV, V, and VI) as potential parents for hybridization to develop high-yielding varieties with improved oil content.

Zenodo (CERN European Organization for Nuclear Research)
Kerala Agricultural University (IN)
Zero hunger
Openalex Percentile: Top 60%
Historical Astronomy and Related Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.